Purpose:This paper informs about the publication of the second edition of the Integrative Levels Classification(ILC2),a freely-faceted knowledge organization system(KOS),and reviews the main changes that have been int...Purpose:This paper informs about the publication of the second edition of the Integrative Levels Classification(ILC2),a freely-faceted knowledge organization system(KOS),and reviews the main changes that have been introduced as compared to its first edition(ILC1).Design/methodology/approach:The most relevant changes are illustrated,with special reference to those of interest to general classification theory,by means of examples of notation for individual classes and combinations of them.Findings:Changes introduced in ILC2 include:the names and order of some main classes;the development of subclasses for various phenomena,especially quantities and algebraic structures;the order of facet categories and the new category of Disorder;notation for special facets;distinction of the semantical function of facets(attributes)from their syntactic function.The system can be freely accessed online through a PHP browser as well as in SKOS format.Research limitations:Only a selection of changed classes is discussed for space reasons.Practical implications:ILC1 has been previously applied to the BARTOC directory of KOSs.Update of BARTOC data to ILC2 and application of ILC2 to further information systems are envisaged.Possible methods for reclassifying BARTOC with ILC2 are discussed.Originality:ILC is a newly developed classification system,based on phenomena instead of traditional disciplines and featuring various innovative devices.This paper is an original account of its most recent evolution.展开更多
According to the current research status of component retrieval, the component description model based on facet classification is improved by adding semantic features. Furthermore, the component retrieval process mode...According to the current research status of component retrieval, the component description model based on facet classification is improved by adding semantic features. Furthermore, the component retrieval process model is put forward by combining the domain ontology with the relative concept match algorithm. A detailed illustration of a component reasoning engine and a component classification engine is given and the component classification algorithm is provided by using the Naive Bayes algorithm based on domain ontology. The experimental results show that the recall ratio and the precision ratio are obviously improved by using the method based on semantics, and demonstrate the feasibility and effectiveness of the proposed method.展开更多
Engineers often need to look for the right pieces of information by sifting through long engineering documents, It is a very tiring and time-consuming job. To address this issue, researchers are increasingly devoting ...Engineers often need to look for the right pieces of information by sifting through long engineering documents, It is a very tiring and time-consuming job. To address this issue, researchers are increasingly devoting their attention to new ways to help information users, including engineers, to access and retrieve document content. The research reported in this paper explores how to use the key technologies of document decomposition （study of document structure）, document mark-up （with EXtensible Mark- up Language （XML）, HyperText Mark-up Language （HTML）, and Scalable Vector Graphics （SVG））, and a facetted classification mechanism. Document content extraction is implemented via computer programming （with Java）. An Engineering Document Content Management System （EDCMS） developed in this research demonstrates that as information providers we can make document content in a more accessible manner for information users including engineers.The main features of the EDCMS system are： 1） EDCMS is a system that enables users, especially engineers, to access and retrieve information at content rather than document level. In other words, it provides the right pieces of information that answer specific questions so that engineers don＇t need to waste time sifting through the whole document to obtain the required piece of information. 2） Users can use the EDCMS via both the data and metadata of a document to access engineering document content. 3） Users can use the EDCMS to access and retrieve content objects, i.e. text, images and graphics （including engineering drawings） via multiple views and at different granularities based on decomposition schemes. Experiments with the EDCMS have been conducted on semi-structured documents, a textbook of CADCAM, and a set of project posters in the Engineering Design domain. Experimental results show that the system provides information users with a powerful solution to access document content.展开更多
文摘Purpose:This paper informs about the publication of the second edition of the Integrative Levels Classification(ILC2),a freely-faceted knowledge organization system(KOS),and reviews the main changes that have been introduced as compared to its first edition(ILC1).Design/methodology/approach:The most relevant changes are illustrated,with special reference to those of interest to general classification theory,by means of examples of notation for individual classes and combinations of them.Findings:Changes introduced in ILC2 include:the names and order of some main classes;the development of subclasses for various phenomena,especially quantities and algebraic structures;the order of facet categories and the new category of Disorder;notation for special facets;distinction of the semantical function of facets(attributes)from their syntactic function.The system can be freely accessed online through a PHP browser as well as in SKOS format.Research limitations:Only a selection of changed classes is discussed for space reasons.Practical implications:ILC1 has been previously applied to the BARTOC directory of KOSs.Update of BARTOC data to ILC2 and application of ILC2 to further information systems are envisaged.Possible methods for reclassifying BARTOC with ILC2 are discussed.Originality:ILC is a newly developed classification system,based on phenomena instead of traditional disciplines and featuring various innovative devices.This paper is an original account of its most recent evolution.
基金The National Natural Science Foundation of China(No60072006)
文摘According to the current research status of component retrieval, the component description model based on facet classification is improved by adding semantic features. Furthermore, the component retrieval process model is put forward by combining the domain ontology with the relative concept match algorithm. A detailed illustration of a component reasoning engine and a component classification engine is given and the component classification algorithm is provided by using the Naive Bayes algorithm based on domain ontology. The experimental results show that the recall ratio and the precision ratio are obviously improved by using the method based on semantics, and demonstrate the feasibility and effectiveness of the proposed method.
基金This work was supported by the UK Engineering and Physical Sciences Research Council(EPSRC)(No.GR/R67507/01).
文摘Engineers often need to look for the right pieces of information by sifting through long engineering documents, It is a very tiring and time-consuming job. To address this issue, researchers are increasingly devoting their attention to new ways to help information users, including engineers, to access and retrieve document content. The research reported in this paper explores how to use the key technologies of document decomposition （study of document structure）, document mark-up （with EXtensible Mark- up Language （XML）, HyperText Mark-up Language （HTML）, and Scalable Vector Graphics （SVG））, and a facetted classification mechanism. Document content extraction is implemented via computer programming （with Java）. An Engineering Document Content Management System （EDCMS） developed in this research demonstrates that as information providers we can make document content in a more accessible manner for information users including engineers.The main features of the EDCMS system are： 1） EDCMS is a system that enables users, especially engineers, to access and retrieve information at content rather than document level. In other words, it provides the right pieces of information that answer specific questions so that engineers don＇t need to waste time sifting through the whole document to obtain the required piece of information. 2） Users can use the EDCMS via both the data and metadata of a document to access engineering document content. 3） Users can use the EDCMS to access and retrieve content objects, i.e. text, images and graphics （including engineering drawings） via multiple views and at different granularities based on decomposition schemes. Experiments with the EDCMS have been conducted on semi-structured documents, a textbook of CADCAM, and a set of project posters in the Engineering Design domain. Experimental results show that the system provides information users with a powerful solution to access document content.
